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Reliability estimation of BGA and CSP assemblies using degradation law model and technological parameters deviations

机译:使用退化规律模型和技术参数偏差估算BGA和CSP组件的可靠性

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摘要

Very low failure rates, down to 10 FITs (one FIT is equivalent to one failure per 10~9 h x component), are now currently expected for electronics devices. To assess this challenge even for complex assemblies, process control, design and technological solutions must be optimised to guarantee almost no defect during the operating life. Reliability evaluation must also evolve from classical accelerated tests, towards the use of more sophisticated laws based on physics of failure and process parameters. We present results from BGA and CSP thermocycling measurements where expected cumulative failure distributions have been modelled using computed degradation law and process dispersion data. Starting points are: 1. An already validated evolution law models the observed degradations on test samples of two different assembly technologies. 2. Numerous physical simulations of technological attributes deviations, using process data are performed. 3. Statistical computations using the previous results lead to a theoretical lifetime distribution under various stress conditions. 4. The extrapolated results related to reliability functions are compared to experimental tests.
机译:目前,电子设备的故障率非常低,可低至10 FIT(1 FIT相当于每10〜9 h x组件发生1次故障)。为了评估这一挑战,即使对于复杂的装配,也必须优化过程控制,设计和技术解决方案,以保证在使用寿命期间几乎没有缺陷。可靠性评估还必须从经典的加速测试演变为基于故障物理特性和过程参数的更复杂的法则的使用。我们介绍了BGA和CSP热循环测量的结果,其中已使用计算出的退化规律和过程分散数据对预期的累积故障分布进行了建模。出发点是:1.一个已经得到验证的演化规律对两种不同组装技术的测试样品上观察到的退化进行建模。 2.使用过程数据对技术属性偏差进行了大量物理模拟。 3.使用先前结果进行统计计算得出各种应力条件下的理论寿命分布。 4.将与可靠性函数有关的推断结果与实验测试进行比较。

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